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研究生:黃茹鳳
研究生(外文):Ru-Feng Huang
論文名稱:「廢舊紡織品回收」之逆物流利潤分析
論文名稱(外文):A Study of Waste Textiles Recycling and Profit Analysis
指導教授:陳振明陳振明引用關係
指導教授(外文):Jen-Ming Chen
學位類別:碩士
校院名稱:國立中央大學
系所名稱:工業管理研究所
學門:商業及管理學門
學類:其他商業及管理學類
論文種類:學術論文
論文出版年:2019
畢業學年度:107
語文別:中文
論文頁數:81
中文關鍵詞:廢舊紡織品回收逆向物流利潤分析再生原料投資決策
外文關鍵詞:Waste TextilesReverse LogisticsCost Volume Profit Analysis
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近年因應「快時尚」浪潮,加快消費者汰換服裝的速度,導致廢舊紡織品數量攀升,此浪潮伴隨而來的需求不確定性所產生之消費前廢舊紡織品數量(如:餘布)抑相當可觀,如無法將其做妥善處理,將對環境帶來負擔;因此,將以上廢舊紡織品進行完整回收再利用刻不容緩,並可預期廢舊紡織品回收產業將持續向上發展。
為降低目前廢舊紡織品未再製比例及增加逆向供應鏈價值下,本研究選定廢舊紡織品處理商為研究對象,將Sarkar and Moon (2014)所提之數學模型延伸應用於該回收產業,探討投資前後成本與收益之變化,其中同時考慮改善廢舊紡織品未再製比例及降低製程變動成本,並提出不同回收處理法(化學法、物理法)所帶來之結果差異。
本研究主要建構一廢舊紡織品處理商成本最小化之數學模型並延伸至總體利潤最大化之數學模型,透過其二回收處理法,為決策者提出不同投資方案所帶來的利潤分析,期望提高永續循環再利用之價值。
In recent years, because of "fast fashion", consumers have accelerated the speed of changing clothing, resulting in an increase in the number of used textiles. According to the data of the Environmental Protection Administration Executive Yuan, R.O.C in August 2018, the total amount of used clothes recycled was about 63,211 tonnes in 2017. In fact, the used clothes discarded by the public as waste were countless. Due to demand uncertainty, the amount of waste textiles before consumption was also considerable. If it cannot be properly disposed, it will impose a burden on the environment. Therefore, it is imperative to completely recycle and remanufacture waste textiles. And it is expected that the waste textile recycling industry will develop well.
In order to improve the proportion of waste textiles and increase the value of reverse supply chain, this study selected waste textile processors as research objects, and extended the mathematical model proposed by Sarkar and Moon (2014) to the recycling industry to explore before and after investment for cost and profit. The change, considering the simultaneous improvement of the proportion of waste textiles and the cost of process changes, and proposed different results of the recycling process (chemical, physical). Considering to improve the proportion of waste textiles and reduce the cost of process changes at the same time, and propose different results from different recycling methods (chemical methods, physical methods).
This study mainly constructs a mathematical model for the profit maximization of waste textile processors. Through the profit analysis brought by this two recycling methods to provide the decision makers different investment schemes. It hopes to improve the value of sustainable recycling.
第一章 緒論 1
1.1研究背景與動機 1
1.2研究目的 2
1.3研究範圍及對象 3
1.4研究架構與流程 3
第二章 文獻探討 6
2.1 廢舊紡織品 6
2.1.1 廢舊紡織品分類 6
2.2 廢舊紡織品回收概況 8
2.2.1 國際間廢舊紡織品回收產業現況 8
2.2.2 國內廢舊紡織品回收產業現況 11
2.2.3 回收處理流程與再製技術 14
2.2.4 產出物價值與營銷市場 19
2.2.5 小結 20
2.3 逆向物流 21
2.3.1 產品再製造 23
2.4 品質改善與投資決策 25
第三章 研究方法 27
3.1問題描述 27
3.2模型基本假設及符號定義 28
3.3處理商成本最小化模型建構 30
3.3.1處理商總成本函數 30
3.3.2小結 32
3.4處理商總體利潤模型建構 33
3.4.1處理商總成本函數 33
3.4.2處理商總收益函數 33
3.4.3處理商於投資後總體利潤模型 34
第四章 數值與敏感度分析 35
4.1參數設定 35
4.1.1預期目標 41
4.1.2情境模擬 43
4.2數值分析 44
4.2.1投資前處理商之總成本、總收益 44
4.2.2投資後兩項回收法之總成本、總收益及總利潤 44
4.2.3情境模擬之處理商總收益、總成本與總利潤 51
4.3小結 52
4.4敏感度分析 53
4.4.1兩項回收法之重要參數對總成本、總收益及總利潤之影響 54
第五章 結論與未來研究方向 62
5.1結論 62
5.2未來研究方向 63
參考文獻 64
附錄 69
英文文獻
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中文文獻
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2. 徐婉瑜 (2016),舊衣回收產業之分類再製多目標生產規劃,國立雲林科技大學,碩士論文。
3. 郭育菁 (2017),「車用鉛蓄電池回收與再利用研究」,國立中央大學,碩士論文。
4. 許恒毓 (2018),「廢機動車輛粉碎殘餘物」之回收再利用利潤分析,國立中央大學,碩士論文。
5. 沈培德 (2013),「產業用紡織品」,財團法人紡織產業綜合研究所,科學發展, 487。
6. 史晟、戴晉明、牛梅 (2011),「廢舊紡織品的再利用」,紡織學報,32(11),147-152。
7. 王建彬、林原慶 (2015), 「循環經濟創新商業模式探詢」,綠基會通訊,40。
8. 彭杏珠 (2018),「人類最親密的衣物,因快時尚帶來災難」,遠見天下, 379。
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11. 陳永欽 (2012),「紡織產業與綠色紡織品概論 -(九)企業實施回收系統案例」,經濟部工業局。
12. Kiki Wu (2018),「在荷蘭遇見永續時尚:歐洲時尚產業的循環經濟發展趨勢和台灣紡織產業的契機」,環境與科學。
13. 紡織產業綜合研究所 (2017),「回收聚酯纖維的技術與市場趨勢&智能紡織材料的發展」,35-41。
14. 中華民國紡織業拓展會 (2013),「台灣紡織業現況與紡織品國際經貿情勢分析」。
15. 經濟部工業局 (2004),「行業製程減廢及汙染防治技術-印染整理業介紹」檢自http://ebooks.lib.ntu.edu.tw/1_file/moeaidb/012655/a03g015.pdf (Feb1, 2019)
16. 綠色和平(2016),「時尚產業及紡織廢棄物研究」,檢自:https://www.greenpeace.org/taiwan/Global/taiwan/planet3/documents/for_download/Toxics/20161125_fashion-and-textile-industry-disposal-study.pdf(Feb1,2019)
17. 行政院環保署 (2018),「執行機關資源回收成果統計」,檢自:https://www.epa.gov.tw/DisplayFile.aspx?FileID=F8BBF5BC0938A1DC&P=445ddc12-ffa9-4f76-b393-3e2316596a01(Jan 19, 2019)
18. 德國I:Collect 舊衣回收公司,檢自:https://www.soex.de/en/icollect/(Jan 28, 2019)
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